Latent class analysis risk profiles : An effective method to predict a first re-report of maltreatment?

Copyright © 2020 Elsevier Ltd. All rights reserved..

Recurrence of child maltreatment is a significant concern causing substantial individual, family and societal cost. Variable-based approaches to identifying targets for intervention may not reflect the reality that families may experience multiple co-occurring risks. An alternative approach was tested using baseline data from the National Survey of Child and Adolescent Well-being (NSCAW) I and II to develop Latent Class Analysis models of family risk classes using variables derived from prior studies of re-reporting. The samples were collected approximately 10 years apart offering a chance to test how the approach might be impacted by demographic or policy shifts. The association between baseline classes and later re-reports was tested using both samples. A two-class model of high versus low presence of baseline risk resulted that was strongly associated with later likelihood of re-report and results were relatively stable across the two studies. Person-centered approaches may hold promise in the early identification of families that require a more comprehensive array of supports to prevent re-reports of maltreatment.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:80

Enthalten in:

Evaluation and program planning - 80(2020) vom: 06. Feb., Seite 101792

Sprache:

Englisch

Beteiligte Personen:

Kim, Hyunil [VerfasserIn]
Jonson-Reid, Melissa [VerfasserIn]
Kohl, Patricia [VerfasserIn]
Chiang, Chien-Jen [VerfasserIn]
Drake, Brett [VerfasserIn]
Brown, Derek [VerfasserIn]
McBride, Tim [VerfasserIn]
Guo, Shenyang [VerfasserIn]

Links:

Volltext

Themen:

Child maltreatment
Child maltreatment report
Journal Article
Latent class analysis
Risk profile

Anmerkungen:

Date Revised 27.02.2024

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.evalprogplan.2020.101792

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM306565927